Lapis AI Studio’s Post

A Book Club in an Engineering Class?! In our Duke University 'Emerging Trends in Explainable AI' class, we are reading fantastic books that dive deeply into topics relating to #ResponsibleAI, including interpretability, explainability, alignment, and adversarial AI. If you want to read along, here are the books students can choose from: Unmasking AI by Dr. Joy Buolamwini Moral AI by Jana Schaich Borg, Walter Sinnott-Armstrong, & Vincent Conitzer The Alignment Problem by Brian Christian A Hacker's Mind by Bruce Schneier Duke AI Master of Engineering Duke Master in Interdisciplinary Data Science (MIDS) Duke Master in FinTech Duke University Master of Engineering Management Duke University Pratt School of Engineering

I’m honored to have my journey as AI scientist in the newsletters #4 of Datalike project. Thank you for the opportunity and to be part of this beautiful initiative! Subscribe to Datalike newsletter, dedicated to put the spotlight on women's journeys and achievements in data related fields. #womeninscience #womeninai #datalike #ai #datascience #machinelearning

🌟 Unlocking the Potential of Machine Learning: A Deep Dive into Localisation of Regularised and Multiview Support Vector Machines 🌟 In a groundbreaking study, researchers Aurelian Gheondea and Cankat Tılkı have explored the localisation of regularised and multiview support vector machine learning, addressing key challenges in semisupervised learning. Their work builds upon the foundational theories introduced by Minh et al. in 2016, expanding our understanding of operator-valued positive semidefinite kernels and their applications in machine learning. 🔍 Key Highlights: - Representer Theorems: The authors prove representer theorems for a localised version of semisupervised manifold regularisation, allowing for flexibility in loss functions across different input points. - Infinite Dimensional Spaces: The framework accommodates both finite and infinite dimensional Hilbert spaces, providing insights into nonconvex loss functions. - Numerical Experiments: Through detailed calculations involving exponential least squares loss functions, they demonstrate effective methods for tackling partially nonlinear equations using Newton's approximation techniques. 🌐 This research not only enhances theoretical foundations but also paves the way for practical applications across diverse fields such as bioinformatics—potentially aiding in understanding tumor metastasis through localised machine learning models. 📈 As we continue to navigate through complex data landscapes, this study serves as a vital resource for researchers and practitioners aiming to leverage advanced machine learning techniques effectively. 🔗 Dive deeper into this fascinating research to discover how localisation can revolutionise support vector machines! #AI #Algorithms #ArtificialIntelligence #DL #DS #DataScience #DeepLearning #ML #MachineLearning #ResearchInnovation #SemisupervisedLearning #SupportVectorMachines #Tech #Technology Source: https://lnkd.in/gsgU5XFH

🎉 Exciting News! 🎓 I am thrilled to share that I have successfully completed my PhD in Artificial Intelligence and Machine Learning! This journey has been filled with countless hours of research, learning, and perseverance. A huge thank you to my guide Dr Abid Hussain, colleagues, and family Amruta Kumbhar who provided invaluable support and encouragement along the way. This accomplishment would not have been possible without you. As I move forward, I am enthusiastic about leveraging my expertise to drive innovation and solve complex problems in the AI and machine learning space. Here’s to new challenges and opportunities on the horizon! #PhDAchievement #ArtificialIntelligence #MachineLearning #AIResearch

*** Comp Sci Engineer --> Research Scientist --> Tech Founder *** 🎙In a recent episode of AI Chronicles, I had the pleasure of speaking with Vishakha, an inspiring computer science engineer turned entrepreneur. Here are some key takeaways from our conversation: ▶ Vishakha’s story is not just about the transition from an engineer to an entrepreneur but also reflects a deeper narrative of leveraging academic insights to foster innovation in the tech industry. ▶ Entrepreneurial Leap: Motivated by the potential of her research involving data management, Vishakha transitioned to entrepreneurship, founding ApertureData. The journey was fueled by a desire to create impactful infrastructure for scientific advancements. ▶ ApertureDB Explained: She detailed ApertureDB's function as a multimodal AI database, adept at managing large, varied data types and facilitating advanced search capabilities, crucial for AI-driven applications. ▶ Vision for Tech: Reflecting on the AI and tech industry's evolution, Vishakha anticipates a future where clarity in generative AI applications and multimodal data management becomes paramount, driving innovation and value creation. and there's more... To find out, tune in to the full episode and a quick demo of ApertureDB. Link in comments.

## AI Revolutionizes Science: A Brave New World for Discovery 🤖🦾AI is transforming how we do science!** This report by the Royal Society explores how artificial intelligence is shaking things up in the scientific community. 🤖AI as a Scientific Powerhouse: * Big data + powerful algorithms = scientific breakthroughs! AI is helping scientists analyze massive datasets, leading to discoveries in medicine, materials science, and more. * From rare disease detection to sustainable material development, AI is a game-changer. 🤖The New Science Team: Humans and AI * AI is like a super-powered research assistant, automating tasks and freeing scientists to focus on creative problem-solving. * Imagine AI as a tireless tutor, colleague, and collaborator, accelerating scientific progress. 🤖Challenges and the Road Ahead** * To reap the full benefits of AI in science, we need to address issues like ensuring research integrity and developing new skills for scientists working with AI. * Building trust with the public is key. We need to ensure responsible AI development in science. #AIinScience #ScientificDiscovery #MachineLearning #BigDataAnalysis #ResearchRevolution #FutureofScience #HumanAఐCollaboration #NextGenScience #RoyalSocietyReport #ScientificBreakthroughs #AIforGood #ResponsibleAI #ScienceEthics #AIandSociety #STEM #Innovation #BreakthroughScience #ScienceNews #ScientificProgress #AIAssistant #AIRevolution #TechForGood #ComputationalScience #DataDrivenScience #AIandHealthcare #AIandMaterialsScience #AIandClimateChange #AIandSustainability https://lnkd.in/gW2TeRgb

Michigan Tech’s influence on AI education and workforce development took the national spotlight Sept. 19 as faculty members Alex Sergeyev and Vinh Nuygen participated in the Congressional Artificial Intelligence Caucus in Washington DC. The event brought together AI experts from academia and government to inform policymakers about the technological, economic and social impacts of advances in AI, along with the implications and opportunities the rapidly advancing technology creates. Read more about how Michigan Tech is working to train today's workforce. 👇 https://lnkd.in/eKPkuUvk Michigan Technological University National Science Foundation (NSF) #MichiganTech

🔍 What is a recent innovations in 𝗔𝗜 for 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴? 🏆 𝗠𝗮𝘁𝗵𝘀𝘁𝗿𝗮𝗹 7B Mistral AI has unveiled Mathstral 7B, a powerful new AI model designed to tackle complex math and science problems. Named in honor of Archimedes, this model is set to revolutionize research and discovery in STEM fields. 🌟 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: - 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Excels in solving difficult mathematical and scientific challenges. - 𝗢𝗽𝗲𝗻 𝗔𝗰𝗰𝗲𝘀𝘀: Available on HuggingFace for easy customization and use. - 𝗘𝘅𝗽𝗲𝗿𝘁 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Developed with contributions from top experts in the field. Mathstral 7B could be an useful tool for researchers and developers aiming for breakthroughs in science and technology. 🔗 Learn more about how Mathstral 7B can enhance your research and projects. https://lnkd.in/d2NJzTqJ #GenAI #GenerativeAI #Research #LLM #ArtificialIntelligence

Unlock the future of technology with our Artificial Intelligence, Data Science & Machine Learning program! Enroll now and embark on a journey of innovation and discovery. Don't Wait, Admissions are now open! ➡ For Registration, log on to: https://lnkd.in/drS2pns2 ➡ To Contact, call on to: 8184923333 . #datascience #machinelearning #artificialintelligence #AI #techology #engineering #bechelorofengineering #engineering #btech #be #becheloroftechnology

Enhancing my skills in AI! I've successfully completed a 7-day online course on 'The Role of AI in Research and Scientific Writing' through Science and Technology Online. I'm now equipped with the knowledge to harness the power of AI in streamlining research processes, enhancing scientific writing, and driving innovation. Looking forward to applying these skills to make a meaningful impact in my work and contribute to the advancement of science and technology! #AIinResearch #ScientificWriting #OnlineLearning #ScienceAndTechnology